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Estimating the Type I error and Type II error:
Suppose a drug company is testing the following null hypothesis:
Ho: A production run of a drug is of satisfactory quality
a. Explain clearly, in your own words, what is a Type I error in this context.
b. Explain clearly, in your own words, what is a Type II error in this context.
c. Discuss the relative seriousness of the errors.
Verified Expert
Type I Error indicates that rejecting the null hypothesis when it is true. Here, we reject the null hypothesis and conclude that the production run of a drug is not of satisfactory quality, but in fact, the production run of a drug is of satisfactory quality
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